About the Dataset

The dataset is part of Zillow’s Home Value Prediction Challenge in Kaggle.

There are ~10.7Mil observations in the data set with multiple features.

About the challenge

Zillow is a platform where ppl list their house or land for sale or rent. Zillow wants a model that can help its customers to predict current price of their property if they had to put it on market.

Main features

• Multiple features.

Approach taken for analysis

1. Feature Analysis
2. Feature Engineering
3. Correlation
4. Modeling

Model used

XGBoost
LightGBM

Visualizations